Predictive Models for Injury Risk Factors in an Intensive Care Unit
Bibliographic Data
Objective: to develop predictive models integrating clinical, environmental and demographic variables associated with the occurrence of Pressure Ulcer, Incontinence-Associated Dermatitis, and Medical Device-Related Pressure Ulcers. Method: longitudinal study, carried out in a tertiary hospital in Fortaleza, Brazil. Data collected from January to October 2024 through patient record data and physical skin examination. Descriptive and bivariate statistical analyses, logistic regression, and predictive models were performed. Results: the absence of skin protection increased the risk of Pressure Ulcers by 84 % (p=0.000, OR=1.841) and doubled the likelihood of Medical Device-Related Ulcers (p=0.008, OR=2.009). Elevated humidity levels showed a strong association with pressure ulcers (p=0.000, Cramér's V=0.299) and Incontinence-Associated Dermatitis (p=0.000, Cramér's V=0.348). Patients with very poor nutritional status had a higher risk of PU (p=0.000, Cramér's V=0.207). In the prediction, the variable "humidity" was the most relevant for dermatitis (R2=0.149), while spinal cord trauma increased the risk of medical device ulcers by more than six times (p=0.000, OR=6.727). Conclusion: predictive models have been developed effectively by identifying risk factors, such as high humidity, inadequate nutrition, and lack of skin protection, associated with injuries in intensive care units. These findings reinforce the need for targeted preventive interventions to minimize risks in patients
Bivariate analysis · Intensive care unit · Logistic regression · Medical record · Pressure sores · Psychological intervention · Risk assessment · Risk factor · Neonatal skin health care · Pressure Ulcer Prevention and Management · Stoma care and complications
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